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General Model Independent Searches for Physics Beyond the Standard Model - Thomas Hebbeker - Bog - Springer Nature Switzerland AG - Plusbog.dk

MDATA: A New Knowledge Representation Model - - Bog - Springer Nature Switzerland AG - Plusbog.dk

A Dynamical Perspective on the ?4 Model - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Model Checking Software - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Linear Model Theory - Dale L. Zimmerman - Bog - Springer Nature Switzerland AG - Plusbog.dk

Linear Model Theory - Dale L. Zimmerman - Bog - Springer Nature Switzerland AG - Plusbog.dk

Verification, Model Checking, and Abstract Interpretation - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Model and Data Engineering - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Verification, Model Checking, and Abstract Interpretation - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Model-Driven Engineering and Software Development - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Therapy and the Neural Network Model - Lori Drucker Wasserman - Bog - Springer Nature Switzerland AG - Plusbog.dk

Therapy and the Neural Network Model - Lori Drucker Wasserman - Bog - Springer Nature Switzerland AG - Plusbog.dk

This innovative work explores integrating emerging research into how the brain processes information in applied therapeutic interventions. Typically, clinicians select therapeutic interventions based on their own training, personal experience or preference. This book aims to provide a new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why to apply therapeutic interventions to impact the systems which are maintaining them. This work begins with a short and accessible overview of the neural network model, and the general aims of therapy. It elucidates components of the neural network model of learning such as reward recognition, automaticity, and memory reconsolidation, and how they apply to both general learning and new learning through the process in therapy. Next, the authors explore how the neural network model can be integrated across existing systems of therapy, including Cognitive Behavior therapy (CBT), Dialectical Behavior Therapy (DBT), third wave therapies and analytic therapies. Therapy and the Neural Network Model is an exciting resource for researchers and practitioners interested in understanding more about the applications of a neural network model for therapy and the how and why of building new mentally healthy cognitions, behaviors and emotions. Therapy and the Neural Network Model is also an essential theoretical foundation for both researchers and practitioners who wish to base their therapeutic practice on neuroscience and integrate their work with related fields such as behavioral medicine, health psychology, social work and public health.

DKK 434.00
1

Therapy and the Neural Network Model - Lori Drucker Wasserman - Bog - Springer Nature Switzerland AG - Plusbog.dk

Therapy and the Neural Network Model - Lori Drucker Wasserman - Bog - Springer Nature Switzerland AG - Plusbog.dk

This innovative work explores integrating emerging research into how the brain processes information in applied therapeutic interventions. Typically, clinicians select therapeutic interventions based on their own training, personal experience or preference. This book aims to provide a new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why to apply therapeutic interventions to impact the systems which are maintaining them. This work begins with a short and accessible overview of the neural network model, and the general aims of therapy. It elucidates components of the neural network model of learning such as reward recognition, automaticity, and memory reconsolidation, and how they apply to both general learning and new learning through the process in therapy. Next, the authors explore how the neural network model can be integrated across existing systems of therapy, including Cognitive Behavior therapy (CBT), Dialectical Behavior Therapy (DBT), third wave therapies and analytic therapies. Therapy and the Neural Network Model is an exciting resource for researchers and practitioners interested in understanding more about the applications of a neural network model for therapy and the how and why of building new mentally healthy cognitions, behaviors and emotions. Therapy and the Neural Network Model is also an essential theoretical foundation for both researchers and practitioners who wish to base their therapeutic practice on neuroscience and integrate their work with related fields such as behavioral medicine, health psychology, social work and public health.

DKK 434.00
1

Model and Data Engineering - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Model-Driven Engineering and Software Development - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Verification, Model Checking, and Abstract Interpretation - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The Biopsychosocial Model of Health and Disease - Derek Bolton - Bog - Springer Nature Switzerland AG - Plusbog.dk

An Elastic Model for Volcanology - Andrea Aspri - Bog - Springer Nature Switzerland AG - Plusbog.dk

Composing Model-Based Analysis Tools - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Composing Model-Based Analysis Tools - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book presents joint works of members of the software engineering and formal methods communities with representatives from industry, with the goal of establishing the foundations for a common understanding of the needs for more flexibility in model-driven engineering. It is based on the Dagstuhl Seminar 19481 „Composing Model-Based Analysis Tools", which was held November 24 to 29, 2019, at Schloss Dagstuhl, Germany, where current challenges, their background and concepts to address them were discussed. The book is structured in two parts, and organized around five fundamental core aspects of the subject: (1) the composition of languages, models and analyses; (2) the integration and orchestration of analysis tools; (3) the continual analysis of models; (4) the exploitation of results; and (5) the way to handle uncertainty in model-based developments. After a chapter on foundations and common terminology and a chapter on challenges in the field, one chapter is devoted to each of the above five core aspects in the first part of the book. These core chapters are accompanied by additional case studies in the second part of the book, in which specific tools and experiences are presented in more detail to illustrate the concepts and ideas previously introduced. The book mainly targets researchers in the fields of software engineering and formal methods as well as software engineers from industry with basic familiarity with quality properties, model-driven engineering and analysis tools. From reading the book, researchers will receive an overview of the state-of-the-art and current challenges, research directions, and recent concepts, while practitioners will be interested to learn about concrete tools and practical applications in the context of case studies.

DKK 799.00
1

Model-Driven Engineering and Software Development - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Linear Model Theory - Dale L. Zimmerman - Bog - Springer Nature Switzerland AG - Plusbog.dk

Verification, Model Checking, and Abstract Interpretation - - Bog - Springer Nature Switzerland AG - Plusbog.dk